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» Face Recognition Based on 2D and 3D Features
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ICPR
2002
IEEE
15 years 2 months ago
Glasses Frame Detection with 3D Hough Transform
This paper describes a method to detect glasses’ frames for robust facial image processing. This method makes use of the 3D features obtained by a trinocular stereo vision syste...
Haiyuan Wu, Genki Yoshikawa, Tadayoshi Shioyama, S...
JWSCG
2011
256views more  JWSCG 2011»
14 years 18 days ago
Accurate Real-Time Multi-Camera Stereo-Matching on the GPU for 3D Reconstruction
Using multi-camera matching techniques for 3d reconstruction there is usually the trade-off between the quality of the computed depth map and the speed of the computations. Wherea...
Klaus Denker, Georg Umlauf
MVA
2007
178views Computer Vision» more  MVA 2007»
14 years 11 months ago
Linear Tracking of Pose and Facial Features
We present an approach for simultaneous monocular 3D face pose and facial animation tracking. The pose and facial features are estimated from observed raw brightness shape-free 2D...
José Alonso Ybáñez Zepeda, Fr...
3DPVT
2006
IEEE
295views Visualization» more  3DPVT 2006»
14 years 11 months ago
Efficient Sparse 3D Reconstruction by Space Sweeping
This paper introduces a feature based method for the fast generation of sparse 3D point clouds from multiple images with known pose. We extract sub-pixel edge elements (2D positio...
Joachim Bauer, Christopher Zach, Horst Bischof
SMI
2008
IEEE
203views Image Analysis» more  SMI 2008»
15 years 4 months ago
SHREC'08 entry: Shape based face recognition with a Morphable Model
We present a method for face recognition by fitting a 3D Morphable Model to shape data. Fitting is done with a a robust nonrigid ICP algorithm. For recognition, it is possible to...
Brian Amberg, Reinhard Knothe, Thomas Vetter